By Topic

Parallel computation of SVD for high resolution DOA estimation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Gang Feng ; Beijing Univ. of Posts & Telecommun., China ; Zemin Liu

In the study of array signal processing, the extensively researched MUSIC (Multiple Signal Characterization) algorithm can be realized based on SVD (Singular Value Decomposition) and many advantages are expected to be achieved. In the application of SVD, how to compute SVD on a parallel array becomes a key issue. In this paper, we discussed several SVD algorithms and their implementation on array processors. Detailed analyses demonstrate some modifications of Hestenes SVD method and Franklin SVD algorithm can make them more suitable for array processing since the array architecture may be substantially simplified

Published in:

Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on  (Volume:5 )

Date of Conference:

31 May-3 Jun 1998